Prediction of financial distress in Tehran Stock Exchange using DEA approach

Predicting Financial Distress in Tehran Stock Exchange

Companies incur significant costs from the financial distress. Predicting financial distress will have an important role in preventing bankruptcy. The aim of the present study is to predict the financial distress costs using the Leland and Toft models, during 1996 and 1998. This study examines data relating to 49 companies listed in the Tehran stock exchange collected over ten years from 2005 t...

The Ranking of Financial Efficiency of Companies Accepted in Stock Exchange of Tehran between 2013 to 2016 through Financial Ratio Approach and Using DEA

Financial ratios provide an illustration of the financial situation, the company's returns, and the future opportunities of business units. Considering that in traditional methods, the effect of financial ratios on efficiency has been investigated so far, it did not look right; therefore, we sought a method that It can be used to see the effect of financial ratios. In the process of data envelo...

The Effect of Financial Distress on the Investment Behavior of Companies Listed on Tehran Stock Exchange

The purpose of this study was to determine the effect of financial distress on investment behavior for the years of 2011 to 2016. The statistical population of the research is Tehran Stock Exchange. According to the systematic elimination method, 104 companies have been selected as the statistical sample. In this research, financial distress is independent variable and corporate investmen...

Determinants Of Investors Financial Behavior In Tehran Stock Exchange

Applying Combined Approach of Sequential Floating Forward Selection and Support Vector Machine to Predict Financial Distress of Listed Companies in Tehran Stock Exchange Market

Objective: Nowadays, financial distress prediction is one of the most important research issues in the field of risk management that has always been interesting to banks, companies, corporations, managers and investors. The main objective of this study is to develop a high performance predictive model and to compare the results with other commonly used models in financial distress prediction M...